Data Science and Visualisation

Established for the BPR enthusiast


Home Process Re-engineering Upcoming Technologies People (upskilling) Contact Us

Data Analytics tools VS Artificial Intelligence

Many times, we have associated data analytical tools as a kind of Artificial intelligence. For data analytical tools, their key focus is to use statistical technique to glean insights and inference. As for AI, its key focus is to build a system for inputs and outputs that mimic human to hear, see, analyse and so on. For more details on AI, you can go to the section on upcoming technologies


1. Machine learning(ML) in Data Science projects uses ML algorithms to perform data modelling to extract knowledge and insights.
2. While ML in AI projects is often productionised, resulting in AI systems producing an output, with a given input.

What are some of the Machine Learning Methodologies?

Before we select any ML methodologies (e.g knn, regression, moving average), we will need to know what are we trying to find out (e.g what happened, or what will happen?). With that in mind, we can then better choose one of the ML types as shown below.



Machine Learning - K-Nearest Neigbour algorithm demonstration


Sample Data

Type of Iris Flower Length (cm) Width (cm)
Setosa 5.3 3.7
Setosa 5.1 3.8
Virginica 7.2 2.7
setosa 5.4 3.4
Virginica 7.4 2.8
Versicolor 6.3 2.5
Versicolor 6.5 2.4

Enter the length of the Iris flower cm
Enter the width of the Iris flower cm

For more examples, you can visit my old site at Here!